Celeris-1 vs Qwen3.5 9B (Reasoning)
Which is better for the money: Celeris-1 by Celeris or Qwen3.5 9B (Reasoning) by Alibaba? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
Qwen3.5 9B (Reasoning) scores 4.9 points higher (11.2 vs 6.3) but costs 5.5× as much to run the benchmark ($329 vs $60.0; both mid-range class). They are not alternatives at one budget: pick Qwen3.5 9B (Reasoning) when you need intelligence above 6.3, and Celeris-1 when 6.3 is enough.
| Metric | Celeris-1 | Qwen3.5 9B (Reasoning) | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 6.3 | 11.2 | +77.8% Qwen3.5 9B (Reasoning) is 77.8% more intelligent |
| Total AA cost (lower is better) | $59.99 | $328.86 | +448.2% Qwen3.5 9B (Reasoning) is 5.5× more expensive |
| End-to-end time (lower is better) | 0.87s | 43.21s | +4866.7% Qwen3.5 9B (Reasoning) is 4866.7% slower |
| Price per 1M tokens (in / out) | $0.20 / $0.70 | $0.14 / $0.20 | |
| Input modalities | Text, Image | Text, Image, Video |
Qwen3.5 9B (Reasoning) vs Celeris-1: 77.8% more intelligence, 448.2% more cost to run the AA benchmark, and 4866.7% slower end-to-end.
Today's Pareto frontier
Against the frontier
- Celeris-1 is off the frontier: at the same or lower cost, Claude Haiku 5.5 (Medium) scores 34.50 for $56.4.
- Qwen3.5 9B (Reasoning) is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
Celeris-1Qwen3.5 9B (Reasoning)Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/celeris-1/qwen3-5-9b · Markdown: /api/v1/compare/celeris-1/qwen3-5-9b?format=md · llms.txt · agent skill